Advanced aerodynamic prediction software for versatile canard-controlled missile configurations

The present research is aimed at the development of advanced aerodynamic prediction software for canard-controlled missile to handle versatile configurations. The prediction code has been developed for aerodynamic prediction for missile configurations based on analytical techniques and empirical relations. An equivalent angle of attack methodology has been used for the estimation of nonlinear behavior in aerodynamics. The code has the capability to handle arbitrary roll orientation including the interdigitated tail, dual control, and angle of attack up to 90°. Four papers were identified as references for validating the prediction method after a thorough review of the literature. The geometrical parameters of the missile from the reference paper are extracted and given as input to the prediction code to find the aerodynamic characteristics. The obtained data from the prediction code are compared with the experimental data from the reference paper. For all the cases, the basic characteristics have excellent validation. In most cases, the prediction deviation is within 1.0d on the longitudinal stability and within 15% of the normal force coefficient. There is a 20% difference in the tail control characteristics. The deviation in tail control effectiveness is within 20%. The deviation for canard control is within 30% and is primarily caused by the interaction of the canard vortex with the tail.

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Publication Details

Journal
Physics of Fluids
Published
2025-02-01
DOI
https://doi.org/10.1063/5.0256726
Citations
1
Primary Topic
Computational Fluid Dynamics and Aerodynamics
Type
article
Field-Weighted Citation Impact
1.33
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article

Advanced aerodynamic prediction software for versatile canard-controlled missile configurations

Inamul Hasan, M. Prashanth, R. Mukesh, P. Theerthamalai et al.
1 citations
Physics of Fluids
Computational Fluid Dynamics and Aerodynamics
1.33
article

Advanced aerodynamic prediction software for versatile canard-controlled missile configurations

Inamul Hasan, M. Prashanth, R. Mukesh, P. Theerthamalai, Abhishek Rajput, M. Praveenkumar, Rajeshwar Rao
article en
1 citations

Abstract

The present research is aimed at the development of advanced aerodynamic prediction software for canard-controlled missile to handle versatile configurations. The prediction code has been developed for aerodynamic prediction for missile configurations based on analytical techniques and empirical relations. An equivalent angle of attack methodology has been used for the estimation of nonlinear behavior in aerodynamics. The code has the capability to handle arbitrary roll orientation including the interdigitated tail, dual control, and angle of attack up to 90°. Four papers were identified as references for validating the prediction method after a thorough review of the literature. The geometrical parameters of the missile from the reference paper are extracted and given as input to the prediction code to find the aerodynamic characteristics. The obtained data from the prediction code are compared with the experimental data from the reference paper. For all the cases, the basic characteristics have excellent validation. In most cases, the prediction deviation is within 1.0d on the longitudinal stability and within 15% of the normal force coefficient. There is a 20% difference in the tail control characteristics. The deviation in tail control effectiveness is within 20%. The deviation for canard control is within 30% and is primarily caused by the interaction of the canard vortex with the tail.

Physics of FluidsVol. 37(2)
Defence Research and Development Laboratory (IN), M S Ramaiah University of Applied Sciences (IN), Department of Biotechnology (IN), M.S. Ramaiah Medical College (IN)
Openalex Percentile: Top 26%
Computational Fluid Dynamics and Aerodynamics
1.33
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Advanced aerodynamic prediction software for versatile canard-controlled missile configurations — Inamul Hasan, M. Prashanth, et al. · Physics of Fluids (2025) | TGRS Research Map | TGRS